Blossom Sky: Industries

DataBloom CEO: Perspective on the Data Market 2024

The data landscape of 2024 is characterized by transformative shifts, primarily driven by the advent of real-time data processing and AI/ML integration. Traditional batch processing is being replaced by real-time stream processing, enhancing decision-making and optimizing data utilization.

Author:

Alexander Alten

White paper: Data Strategies in the Wake of AI

Blossom Sky revolutionizes data management, offering real-time insights, low-code efficiency, and seamless data unification for businesses.

Author:

Vatsal Shah

Why Data Products are Critical to Environmental, Social, and Governance (ESG) Management

Blossom Sky takes ESG compliance to the next level in finance. Get ahead of the competition with our industry-leading federated data platform.

Author:

Alexander Alten

Data Federation and Blossom Sky: The Transformative Guide for Executives in 2023

Unlocking data potential: How Blossom Sky Virtual Data Lakehouse Platform empowers Fortune 500 executives with real-time, informed and secure decisions.

Author:

Alexander Alten

Earth Observation with Blossom Sky

Blossom Sky enhances decision-making across organizations, enabling applications to track climate change, environment or natural disaster response and infrastructure monitoring.

Author:

Dr. Jorge Quiané

Transform Healthcare with Federated Data Lakes and AI

Healthcare, a sensitive part of the public sector, faces data privacy challenges in research, requiring AI for advancing results and sensitive data analytics.

Author:

Public Sector Team

Federated data processing is necessary to avoid bias in Generative AI

A federated data lakehouse is essential for reducing bias and discrimination in AI across organizations as generative AI usage grows.

Author:

Alexander Alten

Big Data Analytics: The Future of Business Intelligence

Big data analytics with Blossom Sky revolutionizes business decision-making, offers 360-degree view, and drives data-driven models.

Author:

Alexander Alten

Generative AI, federated learning and digital twins

Create more accurate digital twin models. Digital twin models can also be trained using federated learning by combining data from different sensors and systems.

Author:

Alexander Alten

The Data Mesh - should you adapt?

Should you put a data mesh in place? We discuss benefit and drawbacks, as well as terminology and when it makes sense to invest in that technology.

Author:

Public Sector Team

How can federated learning boost your organization?

Federated Learning can be used to train models on device data, such as sensor readings, in order to perform tasks like image recognition and anomaly detection.

Author:

Alexander Alten

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